• DocumentCode
    3069883
  • Title

    Parametric sensitivity analysis: a tool for robust design

  • Author

    Van Voorhees, F. David ; Bahill, A.Terry

  • Author_Institution
    Hughes Missile Syst Co., Tucson, AZ, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    22-25 Oct 1995
  • Firstpage
    971
  • Abstract
    Experimental design, or DoE, is offered as an empirical method of sensitivity analysis. In particular, the use of uncontrollable factors and second-order effect estimates are suggested to ensure robustness of the system to parametric uncertainty. An augmentation to Yates algorithm (1937) for 3k factorial designs is described
  • Keywords
    design of experiments; sensitivity analysis; 3k factorial designs; experimental design; parametric sensitivity analysis; parametric uncertainty; robust design tool; second-order effect estimates; uncontrollable factors; Control system analysis; Control systems; Design engineering; Design for experiments; Robustness; Sensitivity analysis; System analysis and design; Systems engineering and theory; US Department of Energy; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2559-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1995.537894
  • Filename
    537894
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3069883